Triple
T36520779
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | LWV |
E900174
|
entity |
| Predicate | hasLocalAffiliates |
P134494
|
FINISHED |
| Object | state leagues |
—
|
LITERAL FINISHED |
How this triple was built (2 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: state leagues | Statement: [LWV, hasLocalAffiliates, state leagues]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasLocalAffiliates Context triple: [LWV, hasLocalAffiliates, state leagues]
-
A.
hasLocalCableNewsChannel
Indicates that an entity is served by or associated with a local cable television news channel.
-
B.
hasAffiliatesIn
chosen
Indicates that an entity maintains affiliated entities, branches, or partners located within a specified place or region.
-
C.
hasMultipleLocalities
Indicates that an entity is associated with more than one locality or geographic area.
-
D.
hasLocalities
Indicates that an entity is associated with, contains, or is linked to one or more specific geographic or administrative local areas.
-
E.
hasLocalStaffFrom
Indicates that an organization or entity employs or is staffed by people originating from a specified local area or region.
- F. None of above.
Provenance (3 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69f76e5eedb88190a393b8c623f71dd7 |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_69ff63225b6481909217ad11b4f7d3ba |
completed | May 9, 2026, 4:38 p.m. |
| PD | Predicate disambiguation | batch_69ff60e0882c819085d097010db43ee0 |
completed | May 9, 2026, 4:29 p.m. |
Created at: May 3, 2026, 4:11 p.m.